Sökning: "radar testing"

Visar resultat 1 - 5 av 51 uppsatser innehållade orden radar testing.

  1. 1. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Fredrik Ohlson; [2023]
    Nyckelord :Tactical sensor systems; Sensor fusion; Model based diagnostics; Hypothesis testing; Taktiska sensor system; Sensor fusion; Modellbaserad diagnostisering; Hypotesprövning;

    Sammanfattning : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. LÄS MER

  3. 2. Solutions for presence detection in an intercom door station

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automation

    Författare :Anton Bengtsson; Måns Andreasson; [2023]
    Nyckelord :presence detection; sensor technology; PIR; ultrasonic; radar; intercom; Technology and Engineering;

    Sammanfattning : In this work, different solutions for human presence detection in a door intercom device are examined. The study was conducted at a company in Lund, Sweden. LÄS MER

  4. 3. Classification of Radar Emitters using Semi-Supervised Contrastive Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Tim Jonsson; [2023]
    Nyckelord :;

    Sammanfattning : Radar is a commonly used radio equipment in military and civilian settings for discovering and locating foreign objects. In a military context, pilots being discovered by radar could have fatal consequences. LÄS MER

  5. 4. Robust Multi-Modal Fusion for 3D Object Detection : Using multiple sensors of different types to robustly detect, classify, and position objects in three dimensions.

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Viktor Kårefjärd; [2023]
    Nyckelord :Computer Vision; 3D Object Detection; Multi-Modal Fusion; Deep Learning; Datorseenden; 3D-objektdetektion; Multimodal fusion; Djupinlärning;

    Sammanfattning : The computer vision task of 3D object detection is fundamentally necessary for autonomous driving perception systems. These vehicles typically feature a multitude of sensors, such as cameras, radars, and light detection and ranging sensors. LÄS MER

  7. 5. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Kevin Coleman; [2023]
    Nyckelord :Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

    Sammanfattning : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. LÄS MER